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To illustrate the impact of reductions in defense con tracts, Edwin L. Caldwell, vice president and economist of the Connecticut Bank and Trust Company in Hartford, noted that the per capita value of prime defense con tracts in Connecticut dropped from $795 in fiscal 1968 to $414 in fiscal 1970.
In the same period the per capita value of such contracts dropped from $296 to $213 in Massachusetts, from $247 to $100 in Vermont, from $222 to $137 in New Hampshire, from $138 to $102 in Rhode Island, and from $77 to $57 in Maine.
This study used a constant per capita value of 65 l/per capita/day.
The real (CPI-deflated) per capita value of end-of-period government debt, (b_{t}equiv B_{t}/P_{t}), evolves according to a standard debt accumulation equation, begin{aligned} b_{t}=frac{R_{t-1}}{pi _{t}}b_{t-1}+PD_{t}, end{aligned}where (PD_{t}) denotes real (CPI-deflated) per capita primary deficit.
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Linear regression analysis was used to assess the effects of per capita values of GDP, health expenditure and public education expenditure on cumulative IF per capita.
Per capita values of GDP and health expenditure are highly correlated (Spearman rank correlation rho = 0.964) and hence cannot be included into one multiple regression.
The population-adjusted research activity determined by the number of articles published, the cumulative impact factor (IF) and the cumulative IF per capita were correlated with per capita values of the GDP, health expenditure and public education expenditure.
The population-adjusted radiological research activity (cumulative IF per capita) correlated significantly with per capita values of the GDP (R = 0.94,P < 0.0001), health expenditure (R = 0.93,P < 0.0001), and public expenditure on education (R = 0.93,P < 0.0001) (Figs. 6, 7, 8).
The real per-capita value of housing equity has fallen to its 1978 level, and housing prices are still slipping in many parts of the country.
Per capita values for the supply of all food commodities (in kilograms per person per year) and the calories, protein, and fat content.
The study further found that these two attributes (i.e. real receipts per capita and value added) strongly correlate with quality of life stressing the attributes of receipts per capita, value added and quality of life and their correlation as important elements in the descriptive theory building of tourism competitiveness.
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